| Literature DB >> 31244784 |
Pei Pei Chong1, Voon Kin Chin1, Chung Yeng Looi1, Won Fen Wong2, Priya Madhavan3, Voon Chen Yong1.
Abstract
Irritable bowel syndrome (IBS) is a functional disorder which affects a large proportion of the population globally. The precise etiology of IBS is still unknown, although consensus understanding proposes IBS to be of multifactorial origin with yet undefined subtypes. Genetic and epigenetic factors, stress-related nervous and endocrine systems, immune dysregulation and the brain-gut axis seem to be contributing factors that predispose individuals to IBS. In addition to food hypersensitivity, toxins and adverse life events, chronic infections and dysbiotic gut microbiota have been suggested to trigger IBS symptoms in tandem with the predisposing factors. This review will summarize the pathophysiology of IBS and the role of gut microbiota in relation to IBS. Current methodologies for microbiome studies in IBS such as genome sequencing, metagenomics, culturomics and animal models will be discussed. The myriad of therapy options such as immunoglobulins (immune-based therapy), probiotics and prebiotics, dietary modifications including FODMAP restriction diet and gluten-free diet, as well as fecal transplantation will be reviewed. Finally this review will highlight future directions in IBS therapy research, including identification of new molecular targets, application of 3-D gut model, gut-on-a-chip and personalized therapy.Entities:
Keywords: IBS animal model; fecal transplant; irritable bowel syndrome; microbiome; microbiota dysbiosis
Year: 2019 PMID: 31244784 PMCID: PMC6579922 DOI: 10.3389/fmicb.2019.01136
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
FIGURE 1The various players involved in the development of IBS.
Alterations in microbiota diversity in different subtypes of IBS.
| IBS subtypes | Microbiota diversity (Family/Phylum/Genus/Species) | Alteration in microbiota (compared with healthy subjects) | References |
|---|---|---|---|
| IBS-C | Increased | ||
| Increased | |||
| Increased | |||
| Decreased | |||
| Decreased | |||
| Increased | |||
| Unknown Ruminococcaceae, unknown | Increased | ||
| Increased | |||
| Decreased | |||
| Decreased | |||
| IBS-D | Decreased | ||
| Decreased | |||
| Increased | |||
| Increased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| 85% phylotype increased | |||
| 94% phylotype increased | |||
| Decreased | |||
| Decreased | |||
| Increased | |||
| Increased | |||
| Decreased | |||
| Bifidobacteria | Decreased | ||
| Ruminococcaceae, unknown Clostridiales, Erysipelotrichaceae, Methanobacteriaceae | Decreased | ||
| Increased | |||
| Increased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| Increased | |||
| Increased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| Decreased | |||
| Increased | |||
| IBS-A | Decreased | ||
| Decreased | |||
| Increased | |||
| Highest | |||
| Decreased | |||
| Increased | |||
| Decreased | |||
| Increased | |||
| Increased | |||
| Erysipelotrichaceae | Decreased | ||
| Increased | |||
| Increased | |||
| Decreased | |||
Current methodologies for studying microbiome.
| Approach | Examples | Advantages/Features |
|---|---|---|
| Culture-independent approach | Clone libraries terminal restriction fragment length polymorphism (T-RFLP) quantitative PCR (qPCR), transcriptome microarrays, high throughput sequencing technologies metagenomics | Enables the discovery of non-cultivable species in the gut Unravel the structure and function of microbial communities Untangle the genome diversity and the differential gene expression of microbial communities Identification of the role of microbes in disease development |
| Culture-dependent approach | Culturomics (different culture conditions, with identification performed via microbiological methods as well as MALDI-TOF MS) | Enables the recovery of microbes from the samples for downstream applications Expansion of available reference genome databases Potential approach to discover novel genes/functions for development of new therapeutics |
| Metabolomics | Mass Spectrometry (MS) and Nuclear Magnetic Resonance (NMR) Spectroscopy | Enables the identification of metabolic products at specific time interval Unravel the complexity between metabolites and gut microbiome Enables the discovery of unique metabolic signature for diagnostic/prognostic applications |
FIGURE 2Summary of the available treatment options for mitigating the severity of IBS symptoms.
FIGURE 3Overview of future therapeutics for IBS.